2021-05-04
James Blair
APIs can dramatically increase the impact of data analytics by making real time results accessible to a larger audience. RStudio empowers organizations to both create and use analytic APIs.
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2021-04-08
Julia Silge
Model monitoring is a key component of ModelOps, and the R ecosystem offers flexible, code-first solutions that meet the model monitoring needs of data science practitioners.
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2021-04-01
Daniel Petzold
Continuing our series on self-service BI tools and code-first, open source data science, we explore embedded analytics and why they are a critical way for a data science team to deliver insights. We also discuss the unique needs that will be demanded of data science teams as they deliver insights that are secure, scalable, and flexible to multiple end user’s needs.
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2021-03-25
Sean Lopp
One powerful approach for BI and data science collaboration is to share augmented data. In this post we cover the details of this technique and include an example where data scientists supply BI teams with forecasts and calculated columns.
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2021-03-18
Lou Bajuk
In this post, we'll provide some insights from organizations who have used both types of tools and give some guidance about which you should use when.
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2021-03-11
Lou Bajuk
Continuing our series on self-service BI tools and code-friendly, open source data science, in this post we dive into the strengths and challenges of the different approaches.
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2021-03-04
Lou Bajuk
In many large organizations, Business Intelligence and Data Science teams compete for budget and mindshare. By focusing on how data science can both augment and complement BI tools such as Tableau and PowerBI, these teams can unite on their common goal: delivering data-driven insights for better decision making.
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2021-01-13
Lou Bajuk
Over the past year, RStudio has invested in making our pro and open source offerings the best common home for both R- and Python-based Data Science. In this blog post, we explain why we support both Python and R, review these recent features, and encourage readers to attend our upcoming webinar.
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2021-01-06
Carl Howe
In this post, I continue our series on how to create your own Google Analytics dashboard in R. Using the data we downloaded in our last post, we'll now create a simple dashboard showing blog page views over time and highlighting the most popular ones.
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2020-12-23
Art Steinmetz
Arthur Steinmetz, former Chairman, CEO, and President of OppenheimerFunds, uses R and the tidymodels package to explore the relationship between COVID-19 cases and mortality in the US.
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